Are you a Master’s graduate looking for fully funded PhD opportunities? Explore the range of funded PhD programs available at the University of Twente, Enschede, Netherlands. Apply online now and kickstart your doctoral journey!
1. Fully Funded PhD Position in Model-Based Testing for Evidence-Driven Black-Box Checking
Summary of PhD Program:
Nowadays so much new and complex software is being developed that there are by far not enough specialists to test this software properly. As a result, companies need more time/resources to develop software, and their products (which we all use) may contain critical bugs. In this project, we investigate methods for automatic software testing. In test automation, model-based testing is the state-of-the-art technique, where tests are generated fully automatically from a model (typically a state-transition system), and then executed on the software system.
Application Deadline: 6 Oct 2024
2. Fully Funded PhD Position in hardware security and FPGA design
Summary of PhD Program:
Public-key cryptography is vulnerable to mathematical attacks by quantum computers. Governments are encouraging organizations to adopt new post-quantum cryptography algorithms to secure critical infrastructure. However, these new algorithms are still susceptible to physical attacks, while current testing infrastructures to assess their resistance to physical attacks sacrifice quality for run time. This project investigates new methods inspired by genomics (to improve quality) in combination with digital hardware design (to reduce run time) to thoroughly evaluate the security of post-quantum protected implementations against deep-learning-based side-channel analysis.
Application Deadline: 29 Sep 2024
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3. Fully Funded PhD Position in Sustainable adoption of AM in underserved communities
Summary of PhD Program:
Through scientific and engineering research, as well as real-world case studies, you will develop a framework and strategies for the sustainable and long-term adoption of AM in underserved communities, making a tangible impact on global challenges. The development and validation of the framework is expected to be supported by case studies focusing on redesign, realization and validation of 3D printing technologies for underserved countries. The validation will have a strong focus on exploration of the social dynamics in the target communities with the developed technologies and methodologies to ensure sustainable adoption of the printing technology.
Application Deadline: 30 Sep 2024
4. Fully Funded PhD Position in Assessing the interplay between wind farms and clouds
Summary of PhD Program:
This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop novel LES to investigate the interaction among clouds on wind farm performance and atmospheric transport processes. This presents an opportunity to push the boundaries of fundamental fluid and atmospheric dynamics, enhance wind farm efficiency, and deepen our understanding of their interaction with the atmosphere. Join us in pushing the boundaries of wind energy fluid mechanics research!
Application Deadline: 30 Sep 2024
5. Fully Funded PhD Position in Pioneering simulations of offshore wind farm turbulence
Summary of PhD Program:
This PhD project, integral to the ERC consolidator WINDFLOW project, is dedicated to the development and application of novel large-eddy simulation techniques. Your research will illuminate the intricate dynamics between wind and waves, assessing their influence on the efficiency of offshore wind farms. This is a chance to advance knowledge in renewable energy and make a significant contribution to improving wind farm efficiency. Join us in shaping the future of sustainable energy.
Application Deadline: 30 Sep 2024
6. Fully Funded PhD Position in Development of a work-place curriculum
Summary of PhD Program:
This project aims at effective up- and reskilling of heat pump installers through the development of a technology-enhanced workplace learning curriculum. The ideal candidate should possess an interest in co-creating knowledge and solutions with future installers, their companies and the project partners, such as RWTH Aachen University and the European Heat Pump Association. This endeavour requires combining scientific rigor with a participatory design approach to make conceptual and practical contributions to an educational challenge in the energy transition.
Application Deadline: 30 Sep 2024
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7. Fully Funded PhD Position in Large-scale impact of wind farms on atmospheric flow
Summary of PhD Program:
This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop a fundamental understanding of wind farms’ large-scale impact on moisture transport, atmospheric stability, cloud dynamics, turbulent transport within the atmosphere, and the interactions between wind farms. This project represents an opportunity for us to advance our collective knowledge of fluid and atmospheric dynamics relevant to wind energy. Join us in pushing the boundaries of wind energy fluid mechanics research!
Application Deadline: 30 Sep 2024
8. Fully Funded PhD Position in Large-scale weather effects in wind farm simulations
Summary of PhD Program:
This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Joining our team means contributing to a vital area of research. This PhD opportunity allows you to enhance your understanding of fundamental fluid and atmospheric dynamics while developing simulation technologies. Our aim is to create innovative simulation strategies enabling simulations with unparalleled detail. Join us in advancing the frontiers of wind energy research!
Application Deadline: 30 Sep 2024
9. Fully Funded PhD Position in measuring social interaction
Summary of PhD Program:
This project aims to model the social and physical activity of high school students, measured through sensors and a smartwatch application, in relation to the social, cultural and physical environment. This will allow you to better understand the school environment and to propose interventions to make the school more inclusive. In recent work, we showed that a smartwatch application can be used to capture meaningful data about children’s play in primary school playgrounds. This data can be analysed to understand how the social, cultural, and physical environment influences children’s activities for better and for worse.
Application Deadline: 14 Oct 2024
10. Fully Funded PhD Position in Machine Learning for Green Credit Scores
Summary of PhD Program:
The goal is to resolve how financial settings can adapt practices or propose solutions for designing green credit scoring models. This will facilitate improved access to investment and credit, thereby promoting fair and sustainable economic growth. You will be a member of the MSCA Industrial Doctoral Network on Digital Finance, a European Research and Training programme with several leading European universities and companies involved, such as the European Central Bank and the Bank for International Settlements. You will attend several European PhD courses and participate in extended research stays abroad.
Application Deadline: 30 Sep 2024
11. Fully Funded PhD Position in Machine Learning for Digital Finance
Summary of PhD Program:
In your project, you will do research on and apply machine learning techniques to make a real-world impact in academia and at financial institutions. A potential research topic is the design of an intelligent search bot that maximises AI technologies to improve the accessibility and user experience of public data portals. Further research will focus on ML techniques and NLP to improve supervisory technology (Suptech) methods. Both topics are relevant and of interest to the ECB and BIS, e.g. as part of their tool Olympus, that provides support in various areas, such as advanced analytics, process automation and digital collaboration.
Application Deadline: 30 Sep 2024
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12. Fully Funded PhD Position in designing a recommender system for sustainable investments
Summary of PhD Program:
During the project, you will closely collaborate with industry and a doctoral training network spread throughout Europe, including extended research stays abroad. The successful applicant will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioural Management and Social Sciences (BMS).
Application Deadline: 30 Sep 2024
13. Fully Funded PhD Position in Modeling of smart additive-manufacturing processes
Summary of PhD Program:
This is a joint project between the University of Twente and the University of Applied Sciences Saxion, combining expertise from fundamental science, granular material modeling, software development, calibration, creative design, and concrete printing. You will work closely together with a Postdoc, who will be responsible for developing the digital twin environment, while you will focus on developing the physical twins of the mixing and printing processes. Together, you will work on creating a comprehensive virtual twin for these processes. Supporting this position is an academic team consisting of two PhD supervisors as well as additional academic staff members with expertise that covers modeling, programming and experimentation.
Application Deadline: 31 Oct 2024
14. Fully Funded PhD Position in Algorithmic Energy Trading
Summary of PhD Program:
The PhD research will be performed as part of an industry funded project on algorithmic energy trading. The goal of this project is to conceive, develop, and evaluate self-learning algorithms that are able to act autonomously on short-term power markets. The algorithms need to calculate intelligent trading decisions (buying and selling energy) in real time while being exposed to a stochastic and dynamic market environment. Designing such algorithms requires working at the intersection of statistical learning and mathematical optimization. Evaluating such algorithms requires close interaction with our industrial project partner from the energy sector. Concretely, the PhD candidate will perform research on understanding how self-learning algorithms can facilitate automated trading on short-term power markets.
Application Deadline: 30 Sep 2024
15. Fully Funded PhD Position in Quantitative Analysis of Impact Investing
Summary of PhD Program:
The PhD project is part of a network of 15 doctoral theses that all contribute to the overall goal of understanding social entrepreneurship (SE) scaling. This particular PhD thesis is part of the work package on “Impact Investing for Social Entrepreneurship Scaling”. The position is focused on quantitatively assessing the impact of hybrid financing strategies, Schumpeterian ‘creative destruction’ logics, and impact fidelity on the scaling of social enterprises. This research will involve a systematic literature review of empirical papers on SE scaling and impact investing, followed by developing measures to quantitatively test these factors through a cross-sectional survey of impact investors.
Application Deadline: 1 Oct 2024
